Application of Big Data Techniques for Efficient Web-Based Library Services Using Big Data: A Modern Approach

Abstract

Information communication technology is growing at a faster speed and diversified way. Cloud computing, internet of things, 5G, and such technologies are gearing-up and resulting in proliferation of data. Data is a raw information and it has created a big data. To handle such data, big data techniques are emerging. Library and information science is a big-way service profession that mediates between the data/information and the users, letting them be students, researchers, technocrats. Big data, mostly digital data, is being generated through multiple on-line surveys and repositories. Digital and social media is the main source of generating such data. Analyzing such data according to user needs is a huge task. This is the challenge now a days to organize the data explosion, specially the volume and variety of data. Big data analytics proves to be a major help in organizing and fetching data sets pertaining to user query. The authors, in this chapter, deal with four major services of libraries, wherein time efficiency can be achieved through big data analytics. Authors have focused on thrust areas of library and information science and indicate the benefits of big data analytics for service efficiency.